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Jinjing Li

Personal Details

First Name:Jinjing
Middle Name:
Last Name:Li
Suffix:
RePEc Short-ID:pli458
[This author has chosen not to make the email address public]

Affiliation

National Centre for Social and Economic Modelling (NATSEM)
University of Canberra

Canberra, Australia
http://www.natsem.canberra.edu.au/
RePEc:edi:natseau (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Software Chapters

Working papers

  1. Jinjing Li & Yogi Vidyattama & Hai Anh La & Riyana Miranti & Denisa M Sologon, 2020. "The Impact of COVID-19 and Policy Responses on Australian Income Distribution and Poverty," Papers 2009.04037, arXiv.org.
  2. Denisa Sologon & Cathal O’Donoghue & Iryna Kyzyma & Jinjing Li & Jules Linden & Raymond Wagener, 2020. "The COVID-19 Resilience of a Continental Welfare Regime - Nowcasting the Distributional Impact of the Crisis," LISER Working Paper Series 2020-14, Luxembourg Institute of Socio-Economic Research (LISER).
  3. LI Jinjing & LA Hai anh & SOLOGON Denisa, 2019. "Policy, demography and market income volatility: What was shaping income distribution in Australia between 2002 and 2016?," LISER Working Paper Series 2019-02, Luxembourg Institute of Socio-Economic Research (LISER).
  4. SOLOGON Denisa & VAN KERM Philippe & LI Jinjing & O'DONOGHUE Cathal, 2018. "Accounting for Differences in Income Inequality across Countries: Ireland and the United Kingdom," LISER Working Paper Series 2018-01, Luxembourg Institute of Socio-Economic Research (LISER).
  5. Li, Jinjing & Wang, Xinmei & Yuan, Chang & Xu, Jing, 2018. "The Role of Public Pensions in Income Inequality among Elderly Households in China 1988–2013," CIS Discussion paper series 674, Center for Intergenerational Studies, Institute of Economic Research, Hitotsubashi University.
  6. Jinjing Li & Alan S Duncan & Riyana Miranti, 2013. "Underemployment among Mature Aged Workers in Australia," Bankwest Curtin Economics Centre Working Paper series WP1301, Bankwest Curtin Economics Centre (BCEC), Curtin Business School.
  7. Li, Jinjing & O'Donoghue, Cathal, 2012. "A methodological survey of dynamic microsimulation models," MERIT Working Papers 2012-002, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  8. Li, Jinjing & O'Donoghue, Cathal, 2012. "Evaluating binary alignment methods in microsimulation models," MERIT Working Papers 2012-003, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  9. LI Jinjing & SOLOGON Denisa, 2011. "A Continuous Labour Supply Model in Microsimulation: A Life-cycle Modelling Approach with Heterogeneity and Uncertainty Extension," LISER Working Paper Series 2011-57, Luxembourg Institute of Socio-Economic Research (LISER).
  10. Li, Jinjing & O'Donoghue, Cathal, 2011. "Retirement Choice Simulation in Household Settings with Heterogeneous Pension Plans," IZA Discussion Papers 5866, Institute of Labor Economics (IZA).
  11. Li, Jinjing & O'Donoghue, Cathal, 2011. "Incentives of Retirement Transition for Elderly Workers: An Analysis of Actual and Simulated Replacement Rates in Ireland," IZA Discussion Papers 5865, Institute of Labor Economics (IZA).

Articles

  1. Jinjing Li & Yogi Vidyattama & Hai Anh La & Riyana Miranti & Denisa M. Sologon, 2022. "Estimating the Impact of Covid-19 and Policy Responses on Australian Income Distribution Using Incomplete Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(1), pages 1-31, July.
  2. Denisa M. Sologon & Philippe Kerm & Jinjing Li & Cathal O’Donoghue, 2021. "Accounting for differences in income inequality across countries: tax-benefit policy, labour market structure, returns and demographics," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 19(1), pages 13-43, March.
  3. Jinjing Li & Hai Anh La & Denisa M. Sologon, 2021. "Policy, Demography, and Market Income Volatility: What Shaped Income Distribution and Inequality in Australia Between 2002 and 2016?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(1), pages 196-221, March.
  4. Jinjing Li & Michael J. Zyphur & George Sugihara & Patrick J. Laub, 2021. "Beyond linearity, stability, and equilibrium: The edm package for empirical dynamic modeling and convergent cross-mapping in Stata," Stata Journal, StataCorp LP, vol. 21(1), pages 220-258, March.
  5. Miranti, Riyana & Li, Jinjing, 2020. "Working hours mismatch, job strain and mental health among mature age workers in Australia," The Journal of the Economics of Ageing, Elsevier, vol. 15(C).
  6. Deborah J Schofield & Owen Tan & Rupendra N Shrestha & Radhika Rajkumar & Sarah West & Morgan Rice & Nadine Kasparian & Jackie Boyle & Louise Christie & Melanie Leffler & Lucinda Murray & Robert Tanto, 2020. "IDMOD: An Australian microsimulation model of lifetime economic and social factors in familial intellectual disability," International Journal of Microsimulation, International Microsimulation Association, vol. 13(1), pages 52-66.
  7. Li, Jinjing & Wang, Xinmei & Xu, Jing & Yuan, Chang, 2020. "The role of public pensions in income inequality among elderly households in China 1988–2013," China Economic Review, Elsevier, vol. 61(C).
  8. Jinjing Li & Yogi Vidyattama, 2019. "Projecting spatial population and labour force growth in Australian districts," Journal of Population Research, Springer, vol. 36(3), pages 205-232, September.
  9. Cathal O’Donoghue & Jinjing Li & Ilona Cserháti & Péter Elek & Tibor Keresztély & Tibor Takács, 2018. "The Distributional Impact of VAT Reduction for Food in Hungary: Results from a Hungarian Microsimulation Model," International Journal of Microsimulation, International Microsimulation Association, vol. 11(3), pages 2-38.
  10. Jinjing Li, 2017. "Rate decomposition for aggregate data using Das Gupta’s method," Stata Journal, StataCorp LP, vol. 17(2), pages 490-502, June.
  11. Jinjing Li & Alan Duncan & Riyana Miranti, 2015. "Underemployment among Mature-Age Workers in Australia," The Economic Record, The Economic Society of Australia, vol. 91(295), pages 438-462, December.
  12. Jinjing Li, 2015. "A Review of Spatial Microsimulation: A Reference Guide for Users," International Journal of Microsimulation, International Microsimulation Association, vol. 8(3), pages 148-151.
  13. Jinjing Li & Denisa Maria Sologon, 2014. "A Continuous Labour Supply Model in Microsimulation: A Life-Cycle Modelling Approach with Heterogeneity and Uncertainty Extension," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-15, November.
  14. Jinjing Li & Cathal O'Donoghue, 2014. "Evaluating Binary Alignment Methods in Microsimulation Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 17(1), pages 1-15.
  15. Jinjing Li & Cathal O'Donoghue, 2013. "A survey of dynamic microsimulation models: uses, model structure and methodology," International Journal of Microsimulation, International Microsimulation Association, vol. 6(2), pages 3-55.
  16. Jinjing Li & Cathal O'Donoghue, 2012. "Simulating Histories within Dynamic Microsimulation Models," International Journal of Microsimulation, International Microsimulation Association, vol. 5(1), pages 52-76.

Software components

  1. Jinjing Li & Michael Zyphur & Patrick Laub & Edoardo Tescari & Simon Mutch & George Sugihara, 2019. "EDM: Stata module to implement empirical dynamic modeling," Statistical Software Components S458593, Boston College Department of Economics, revised 24 Dec 2022.
  2. Jinling Li, 2015. "RDECOMPOSE: Stata module to implements Gupta's rate decomposition method for aggregated data," Statistical Software Components S458092, Boston College Department of Economics, revised 08 Jan 2023.
  3. Jinjing Li, 2014. "ALIGNMICRO: Stata module to perform alignment in microsimulation," Statistical Software Components S457855, Boston College Department of Economics.

Chapters


    RePEc:eme:ceapzz:s0573-855520140000293009 is not listed on IDEAS
    RePEc:eme:ceapzz:s0573-855520140000293002 is not listed on IDEAS

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Jinjing Li & Yogi Vidyattama & Hai Anh La & Riyana Miranti & Denisa M Sologon, 2020. "The Impact of COVID-19 and Policy Responses on Australian Income Distribution and Poverty," Papers 2009.04037, arXiv.org.

    Cited by:

    1. Andrew E. Clark & Conchita d'Ambrosio & Anthony Lepinteur, 2021. "The Fall in Income Inequality during COVID-19 in Four European Countries," Working Papers halshs-03230629, HAL.
    2. Hafiz Suliman Munawar & Sara Imran Khan & Fahim Ullah & Abbas Z. Kouzani & M. A. Parvez Mahmud, 2021. "Effects of COVID-19 on the Australian Economy: Insights into the Mobility and Unemployment Rates in Education and Tourism Sectors," Sustainability, MDPI, vol. 13(20), pages 1-17, October.
    3. Michael Christl & Silvia De Poli & Dénes Kucsera & Hanno Lorenz, 2022. "COVID-19 and (gender) inequality in income: the impact of discretionary policy measures in Austria," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 158(1), pages 1-17, December.
    4. Gambau, Borja & C. Palomino, Juan & G. Rodríguez, Juan & Sebastian, Raquel, 2021. "COVID-19 restrictions in the US: wage vulnerability by education, race and gender," INET Oxford Working Papers 2021-11, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    5. Giorgia Menta, 2021. "Poverty in the COVID-19 Era: Real-time Data Analysis on Five European Countries," Research on Economic Inequality, in: Research on Economic Inequality: Poverty, Inequality and Shocks, volume 29, pages 209-247, Emerald Group Publishing Limited.
    6. Andrew Clark & Conchita D'Ambrosio & Anthony Lepinteur & Giorgia Menta, 2022. "Pandemic Policy and Individual Income Changes across Europe," Working Papers 600, ECINEQ, Society for the Study of Economic Inequality.

  2. Denisa Sologon & Cathal O’Donoghue & Iryna Kyzyma & Jinjing Li & Jules Linden & Raymond Wagener, 2020. "The COVID-19 Resilience of a Continental Welfare Regime - Nowcasting the Distributional Impact of the Crisis," LISER Working Paper Series 2020-14, Luxembourg Institute of Socio-Economic Research (LISER).

    Cited by:

    1. O'Donoghue, Cathal & Sologon, Denisa Maria, 2023. "The Transformation of Public Policy Analysis in Times of Crisis – A Microsimulation-Nowcasting Method Using Big Data," IZA Discussion Papers 15937, Institute of Labor Economics (IZA).

  3. SOLOGON Denisa & VAN KERM Philippe & LI Jinjing & O'DONOGHUE Cathal, 2018. "Accounting for Differences in Income Inequality across Countries: Ireland and the United Kingdom," LISER Working Paper Series 2018-01, Luxembourg Institute of Socio-Economic Research (LISER).

    Cited by:

    1. Hanewald, Katja & Jia, Ruo & Liu, Zining, 2021. "Why is inequality higher among the old? Evidence from China," China Economic Review, Elsevier, vol. 66(C).
    2. Callan, Tim & Doorley, Karina & Savage, Michael, 2018. "Inequality in EU Crisis Countries: How Effective Were Automatic Stabilisers?," IZA Discussion Papers 11439, Institute of Labor Economics (IZA).
    3. SOLOGON Denisa & ALMEIDA Vanda & VAN KERM Philippe, 2019. "Accounting for the distributional effects of the 2007-2008 crisis and the Economic Adjustment Program in Portugal," LISER Working Paper Series 2019-05, Luxembourg Institute of Socio-Economic Research (LISER).
    4. O'Donoghue, Cathal & Sologon, Denisa Maria & Kyzyma, Iryna & McHale, John, 2020. "Modelling the Distributional Impact of the COVID-19 Crisis," IZA Discussion Papers 13235, Institute of Labor Economics (IZA).
    5. Cueva,Ronald & Del Carpio,Ximena Vanessa & Winkler,Hernan Jorge, 2021. "The Impacts of COVID-19 on Informal Labor Markets : Evidence from Peru," Policy Research Working Paper Series 9675, The World Bank.
    6. Laurent Piet & M Benoit & V Chatellier & K. Hervé Dakpo & N Delame & Yann Desjeux & P Dupraz & M Gillot & Philippe Jeanneaux & C Laroche-Dupraz & A Ridier & E Samson & P Veysset & P Avril & C Beaudoui, 2020. "Hétérogénéité, déterminants et trajectoires du revenu des agriculteurs français," Working Papers hal-02877320, HAL.
    7. Denisa M. Sologon & Philippe Kerm & Jinjing Li & Cathal O’Donoghue, 2021. "Accounting for differences in income inequality across countries: tax-benefit policy, labour market structure, returns and demographics," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 19(1), pages 13-43, March.
    8. Jinjing Li & Hai Anh La & Denisa M. Sologon, 2021. "Policy, Demography, and Market Income Volatility: What Shaped Income Distribution and Inequality in Australia Between 2002 and 2016?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(1), pages 196-221, March.
    9. LI Jinjing & LA Hai anh & SOLOGON Denisa, 2019. "Policy, demography and market income volatility: What was shaping income distribution in Australia between 2002 and 2016?," LISER Working Paper Series 2019-02, Luxembourg Institute of Socio-Economic Research (LISER).
    10. O'Donoghue, Cathal & M. Sologon, Denisa & Kyzyma, Iryna & McHale, John, 2020. "Modelling the distributional impact of the Covid-19 crisis in Ireland," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA4/20, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
    11. Nerijus Cerniauskas & Denisa M. Sologon & Cathal O’Donoghue & Linas Tarasonis, 2020. "Changes in income inequality in Lithuania: the role of policy, labour market structure, returns and demographics," Bank of Lithuania Working Paper Series 71, Bank of Lithuania.

  4. Li, Jinjing & Wang, Xinmei & Yuan, Chang & Xu, Jing, 2018. "The Role of Public Pensions in Income Inequality among Elderly Households in China 1988–2013," CIS Discussion paper series 674, Center for Intergenerational Studies, Institute of Economic Research, Hitotsubashi University.

    Cited by:

    1. Hanewald, Katja & Jia, Ruo & Liu, Zining, 2021. "Why is inequality higher among the old? Evidence from China," China Economic Review, Elsevier, vol. 66(C).
    2. Weiwei Wang & Yifan Zhao, 2023. "Impact of Natural Disasters on Household Income and Expenditure Inequality in China," Sustainability, MDPI, vol. 15(18), pages 1-15, September.
    3. Sierminska, Eva & Wroński, Marcin, 2022. "Inequality and Public Pension Entitlements," GLO Discussion Paper Series 1212, Global Labor Organization (GLO).
    4. Wenran Xia & Jeroen D. H. van Wijngaarden & Robbert Huijsman & Martina Buljac-Samardžić, 2022. "Effect of Receiving Financial Support from Adult Children on Depression among Older Persons and the Mediating Role of Social Participation," IJERPH, MDPI, vol. 19(19), pages 1-16, October.
    5. Tongwei Xie & Changjiang Xiong & Qing Xu & Tianshu Zhou, 2022. "The Impact of Social Pension Scheme on Farm Production in China: Evidence from the China Health and Retirement Longitudinal Survey," IJERPH, MDPI, vol. 19(4), pages 1-13, February.
    6. Gong, Chen & Sologon, Denisa Maria & Nimeh, Zina & O'Donoghue, Cathal, 2023. "Decomposition of the Changes in Household Disposable Income Distribution in China," IZA Discussion Papers 15914, Institute of Labor Economics (IZA).
    7. Akisik, Orhan & Gal, Graham, 2023. "IFRS, financial development and income inequality: An empirical study using mediation analysis," Economic Systems, Elsevier, vol. 47(2).
    8. Anqi Zhang & Katsushi S. Imai, 2022. "Does a Universal Pension Reduce Elderly Poverty in China?," Economics Discussion Paper Series 2203, Economics, The University of Manchester.
    9. Anqi Zhang & Katsushi S. Imai, 2022. "Does a Universal Pension Reduce Elderly Poverty in China?," Discussion Paper Series DP2022-30, Research Institute for Economics & Business Administration, Kobe University.
    10. Li Yang, 2021. "Towards equity and sustainability? China’s pension system reform moves center stage," World Inequality Lab Working Papers halshs-03215912, HAL.
    11. Huang, Ruting & Yao, Xin, 2023. "The role of power transmission infrastructure in income inequality: Fresh evidence from China," Energy Policy, Elsevier, vol. 177(C).
    12. Li Yang, 2021. "Towards equity and sustainability? China’s pension system reform moves center stage," Working Papers halshs-03215912, HAL.

  5. Jinjing Li & Alan S Duncan & Riyana Miranti, 2013. "Underemployment among Mature Aged Workers in Australia," Bankwest Curtin Economics Centre Working Paper series WP1301, Bankwest Curtin Economics Centre (BCEC), Curtin Business School.

    Cited by:

    1. Michael Coelli & Domenico Tabasso, 2019. "Where are the returns to lifelong learning?," Empirical Economics, Springer, vol. 57(1), pages 205-237, July.
    2. T. Kifle & P. Kler & S. Shankar, 2019. "The Underemployment-Job Satisfaction Nexus: A Study of Part-Time Employment in Australia," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(1), pages 233-249, May.
    3. Parvinder Kler & Azhar Hussain Potia & Sriram Shankar, 2018. "Underemployment in Australia: a panel investigation," Applied Economics Letters, Taylor & Francis Journals, vol. 25(1), pages 24-28, January.
    4. Miranti, Riyana & Li, Jinjing, 2020. "Working hours mismatch, job strain and mental health among mature age workers in Australia," The Journal of the Economics of Ageing, Elsevier, vol. 15(C).
    5. Azad, A.K. & Rasul, M.G. & Khan, M.M.K. & Sharma, Subhash C. & Mofijur, M. & Bhuiya, M.M.K., 2016. "Prospects, feedstocks and challenges of biodiesel production from beauty leaf oil and castor oil: A nonedible oil sources in Australia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 302-318.
    6. Lim, Eunjung, 2016. "Multilateral approach to the back end of the nuclear fuel cycle in Asia-Pacific?," Energy Policy, Elsevier, vol. 99(C), pages 158-164.
    7. Lampel, Joseph & Bhalla, Ajay & Jha, Pushkar P., 2014. "Does governance confer organisational resilience? Evidence from UK employee owned businesses," European Management Journal, Elsevier, vol. 32(1), pages 66-72.
    8. T. Kifle & P. Kler & S. Shankar, 2017. "Underemployment and its impact on job satisfaction: An Australian study on part-time employment," Discussion Papers in Economics economics:201712, Griffith University, Department of Accounting, Finance and Economics.

  6. Li, Jinjing & O'Donoghue, Cathal, 2012. "A methodological survey of dynamic microsimulation models," MERIT Working Papers 2012-002, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).

    Cited by:

    1. Alessandra Caretta & Sara Flisi & Cecilia Frale & Michele Raitano & Simone Tedeschi, 2013. "T-DYMM : the treasury dynamic microsimulation model of the Italian pension system," Working Papers 11, Department of the Treasury, Ministry of the Economy and of Finance.
    2. Matteo G. Richiardi, 2012. "Forecasting with Unobserved Heterogeneity," LABORatorio R. Revelli Working Papers Series 123, LABORatorio R. Revelli, Centre for Employment Studies.
    3. Franziska Gassmann & Cecile Cherrier & Andrés Mideros Mora & Pierre Mohnen, 2013. "Making the Investment Case for Social Protection: Methodological challenges with lessons learnt from a recent study in Cambodia," Papers inwopa694, Innocenti Working Papers.
    4. Mideros A. & Gassmann F. & Mohnen P., 2013. "Estimation of rates of return of social protection instruments. Making the case for non-contributory social transfers in Cambodia," MERIT Working Papers 2013-063, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).

  7. Li, Jinjing & O'Donoghue, Cathal, 2012. "Evaluating binary alignment methods in microsimulation models," MERIT Working Papers 2012-003, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).

    Cited by:

    1. Ross Richardson & Matteo G. Richiardi, 2016. "JAS-mine: A new platform for microsimulation and agent-based modelling," LABORatorio R. Revelli Working Papers Series 147, LABORatorio R. Revelli, Centre for Employment Studies.
    2. Johannes Geyer & Salmai Qari & Hermann Buslei & Peter Haan, 2021. "DySiMo Dokumentation: Version 1.0," Data Documentation 101, DIW Berlin, German Institute for Economic Research.
    3. O'Donoghue, Cathal & Sologon, Denisa Maria & Kyzyma, Iryna & McHale, John, 2020. "Modelling the Distributional Impact of the COVID-19 Crisis," IZA Discussion Papers 13235, Institute of Labor Economics (IZA).
    4. Barry J. Milne & Roy Lay-Yee & Jessica M. Mc Lay & Janet Pearson & Martin von Randow & Peter Davis, 2015. "Modelling the Early life-course (MELC): A Microsimulation Model of Child Development in New Zealand," International Journal of Microsimulation, International Microsimulation Association, vol. 8(2), pages 28-60.
    5. Jan Pablo Burgard & Joscha Krause & Simon Schmaus, 2019. "Estimation of Regional Transition Probabilities for Spatial Dynamic Microsimulations from Survey Data Lacking in Regional Detail," Research Papers in Economics 2019-12, University of Trier, Department of Economics.
    6. Gijs Dekkers & Richard Cumpston, 2012. "On weights in dynamic-ageing microsimulation models," International Journal of Microsimulation, International Microsimulation Association, vol. 5(2), pages 59-65.
    7. O'Donoghue, Cathal & Sologon, Denisa Maria, 2023. "The Transformation of Public Policy Analysis in Times of Crisis – A Microsimulation-Nowcasting Method Using Big Data," IZA Discussion Papers 15937, Institute of Labor Economics (IZA).
    8. Jinjing Li & Yogi Vidyattama & Hai Anh La & Riyana Miranti & Denisa M. Sologon, 2022. "Estimating the Impact of Covid-19 and Policy Responses on Australian Income Distribution Using Incomplete Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(1), pages 1-31, July.
    9. Mohana Mondal & Michael P. Cameron & Jacques Poot, 2021. "Towards a dynamic spatial microsimulation model for projecting Auckland's spatial distribution of ethnic groups," Working Papers in Economics 21/12, University of Waikato.
    10. Jara, H. Xavier & Montesdeoca, Lourdes & Tasseva, Iva, 2022. "The role of automatic stabilizers and emergency tax–benefit policies during the COVID-19 Pandemic: evidence from Ecuador," LSE Research Online Documents on Economics 112738, London School of Economics and Political Science, LSE Library.
    11. O'Donoghue, Cathal & M. Sologon, Denisa & Kyzyma, Iryna & McHale, John, 2020. "Modelling the distributional impact of the Covid-19 crisis in Ireland," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA4/20, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
    12. Geyer, Johannes, 2021. "Die Folgen der Corona-Krise für die Anwartschaften an die gesetzliche Rentenversicherung," Working Paper Forschungsförderung 216, Hans-Böckler-Stiftung, Düsseldorf.
    13. Burgard Jan Pablo & Dieckmann Hanna & Krause Joscha & Merkle Hariolf & Münnich Ralf & Neufang Kristina M. & Schmaus Simon, 2020. "A generic business process model for conducting microsimulation studies," Statistics in Transition New Series, Polish Statistical Association, vol. 21(4), pages 191-211, August.
    14. Burgard, Jan Pablo & Krause, Joscha & Schmaus, Simon, 2021. "Estimation of regional transition probabilities for spatial dynamic microsimulations from survey data lacking in regional detail," Computational Statistics & Data Analysis, Elsevier, vol. 154(C).
    15. Matteo Richiardi, 2016. "Editorial," International Journal of Microsimulation, International Microsimulation Association, vol. 9(3), pages 1-4.
    16. Magalasi, Chimwemwe, 2021. "The short-term distributional impact of COVID-19 in Malawi," EUROMOD Working Papers EM7/21, EUROMOD at the Institute for Social and Economic Research.
    17. Denisa Sologon & Cathal O’Donoghue & Iryna Kyzyma & Jinjing Li & Jules Linden & Raymond Wagener, 2020. "The COVID-19 Resilience of a Continental Welfare Regime - Nowcasting the Distributional Impact of the Crisis," LISER Working Paper Series 2020-14, Luxembourg Institute of Socio-Economic Research (LISER).
    18. Luis Huesca & Linda Llamas & H. Xavier Jara & César O. Vargas Téllez & David Rodríguez, 2021. "The impact of the COVID-19 pandemic on poverty and inequality in Mexico," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 16(3), pages 1-19, Julio - S.
    19. Richiardi, Matteo & Bronka, Patryk & van de Ven, Justin, 2023. "Back to the future: Agent-based modelling and dynamic microsimulation," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA8/23, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.

  8. Li, Jinjing & O'Donoghue, Cathal, 2011. "Retirement Choice Simulation in Household Settings with Heterogeneous Pension Plans," IZA Discussion Papers 5866, Institute of Labor Economics (IZA).

    Cited by:

Articles

  1. Jinjing Li & Yogi Vidyattama & Hai Anh La & Riyana Miranti & Denisa M. Sologon, 2022. "Estimating the Impact of Covid-19 and Policy Responses on Australian Income Distribution Using Incomplete Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(1), pages 1-31, July.

    Cited by:

    1. Shiqi Jiang & Lingli Qi & Xinyue Lin, 2022. "The Impacts of COVID-19 Shock on Intergenerational Income Mobility: Evidence from China," IJERPH, MDPI, vol. 19(18), pages 1-20, September.
    2. O'Donoghue, Cathal & Sologon, Denisa Maria, 2023. "The Transformation of Public Policy Analysis in Times of Crisis – A Microsimulation-Nowcasting Method Using Big Data," IZA Discussion Papers 15937, Institute of Labor Economics (IZA).
    3. Glenn Abela, 2022. "Assessing the impacts of the COVID-19 wage supplement scheme: A microsimulation study," CBM Working Papers WP/06/2022, Central Bank of Malta.

  2. Denisa M. Sologon & Philippe Kerm & Jinjing Li & Cathal O’Donoghue, 2021. "Accounting for differences in income inequality across countries: tax-benefit policy, labour market structure, returns and demographics," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 19(1), pages 13-43, March.

    Cited by:

    1. Leo Azzollini & Richard Breen & Brian Nolan, 2023. "Demographic behaviour and earnings inequality across OECD countries," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 21(2), pages 441-461, June.
    2. Nerijus Cerniauskas & Denisa Sologon & Cathal O'Donoghue & Linas Tarasonis, 2021. "Income inequality and redistribution in Lithuania: The role of policy, labor market, income, and demographics," GRAPE Working Papers 60, GRAPE Group for Research in Applied Economics.
    3. Gong, Chen & Sologon, Denisa Maria & Nimeh, Zina & O'Donoghue, Cathal, 2023. "Decomposition of the Changes in Household Disposable Income Distribution in China," IZA Discussion Papers 15914, Institute of Labor Economics (IZA).
    4. Makarski, Krzysztof & Tyrowicz, Joanna, 2023. "Preference for redistribution during structural change with labor mobility frictions," European Journal of Political Economy, Elsevier, vol. 77(C).
    5. Karina Doorley & Tim Callan & Michael Savage, 2021. "What drove income inequality in EU crisis countries during the Great Recession?," Fiscal Studies, John Wiley & Sons, vol. 42(2), pages 319-343, June.
    6. O'Donoghue, Cathal & Sologon, Denisa Maria, 2023. "The Transformation of Public Policy Analysis in Times of Crisis – A Microsimulation-Nowcasting Method Using Big Data," IZA Discussion Papers 15937, Institute of Labor Economics (IZA).
    7. Alina CIUREA (MECA), 2022. "Impact of European Union Social Policy during Pandemic on Household Income," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 3, pages 117-124.
    8. Denisa Sologon & Cathal O’Donoghue & Iryna Kyzyma & Jinjing Li & Jules Linden & Raymond Wagener, 2020. "The COVID-19 Resilience of a Continental Welfare Regime - Nowcasting the Distributional Impact of the Crisis," LISER Working Paper Series 2020-14, Luxembourg Institute of Socio-Economic Research (LISER).
    9. Anastasiya Lisina & Philippe Van Kerm, 2022. "Understanding Twenty Years of Inequality and Poverty Trends in Russia," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 68(S1), pages 108-130, April.
    10. Jules Linden & Cathal O’Donoghue & Denisa M. Sologon, 2023. "Decomposing the distributional impact of carbon taxation across six EU countries - Comparing the role of budget shares, carbon intensity, savings rates, and asset ownership," LISER Working Paper Series 2023-10, Luxembourg Institute of Socio-Economic Research (LISER).

  3. Jinjing Li & Hai Anh La & Denisa M. Sologon, 2021. "Policy, Demography, and Market Income Volatility: What Shaped Income Distribution and Inequality in Australia Between 2002 and 2016?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(1), pages 196-221, March.

    Cited by:

    1. Nerijus Cerniauskas & Denisa Sologon & Cathal O'Donoghue & Linas Tarasonis, 2021. "Income inequality and redistribution in Lithuania: The role of policy, labor market, income, and demographics," GRAPE Working Papers 60, GRAPE Group for Research in Applied Economics.
    2. Karina Doorley & Jan Gromadzki & Piotr Lewandowski & Dora Tuda & Philippe Van Kerm, 2023. "Automation and income inequality in Europe," IBS Working Papers 06/2023, Instytut Badan Strukturalnych.
    3. O'Donoghue, Cathal & Sologon, Denisa Maria, 2023. "The Transformation of Public Policy Analysis in Times of Crisis – A Microsimulation-Nowcasting Method Using Big Data," IZA Discussion Papers 15937, Institute of Labor Economics (IZA).
    4. Silvia Avram & Mike Brewer & Paul Fisher & Laura Fumagalli, 2022. "Household Earnings and Income Volatility in the UK, 2009–2017," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(2), pages 345-369, June.
    5. Jinjing Li & Yogi Vidyattama & Hai Anh La & Riyana Miranti & Denisa M. Sologon, 2022. "Estimating the Impact of Covid-19 and Policy Responses on Australian Income Distribution Using Incomplete Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(1), pages 1-31, July.
    6. Roger Wilkins, 2021. "Economic Wellbeing," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 54(4), pages 469-481, December.
    7. Yanotti, Maria B. & Banks, Marcus & de Silva, Ashton & Anantharama, Nandini & Peter Whiteford, & Bowman, Dina & Csereklyei, Zsuzsanna, 2021. "The utility of new data in understanding housing insecurity," SocArXiv qb4d2, Center for Open Science.

  4. Miranti, Riyana & Li, Jinjing, 2020. "Working hours mismatch, job strain and mental health among mature age workers in Australia," The Journal of the Economics of Ageing, Elsevier, vol. 15(C).

    Cited by:

    1. Christian Grund & Katja Rebecca Tilkes, 2021. "Working Time Mismatch and Job Satisfaction: The Role of Employees’ Time Autonomy and Gender," SOEPpapers on Multidisciplinary Panel Data Research 1149, DIW Berlin, The German Socio-Economic Panel (SOEP).
    2. Awaworyi Churchill, Sefa & Munyanyi, Musharavati Ephraim & Prakash, Kushneel & Smyth, Russell, 2020. "Locus of control and the gender gap in mental health," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 740-758.
    3. Mark Wooden, 2021. "Job Characteristics and the Changing Nature of Work," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 54(4), pages 494-505, December.
    4. Hailemariam, Abebe & Yew, Siew Ling & Appau, Samuelson, 2021. "Gender health gaps: The role of risky addictive behaviors," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 639-660.

  5. Li, Jinjing & Wang, Xinmei & Xu, Jing & Yuan, Chang, 2020. "The role of public pensions in income inequality among elderly households in China 1988–2013," China Economic Review, Elsevier, vol. 61(C).
    See citations under working paper version above.
  6. Cathal O’Donoghue & Jinjing Li & Ilona Cserháti & Péter Elek & Tibor Keresztély & Tibor Takács, 2018. "The Distributional Impact of VAT Reduction for Food in Hungary: Results from a Hungarian Microsimulation Model," International Journal of Microsimulation, International Microsimulation Association, vol. 11(3), pages 2-38.

    Cited by:

    1. Kogawa, Takeshi, 2021. "The inter-cohort distributional effects of Japan's indirect tax reforms," Warwick-Monash Economics Student Papers 32, Warwick Monash Economics Student Papers.

  7. Jinjing Li, 2017. "Rate decomposition for aggregate data using Das Gupta’s method," Stata Journal, StataCorp LP, vol. 17(2), pages 490-502, June.

    Cited by:

    1. Cécile Bonneau & Sébastien Grobon, 2022. "Unequal access to higher education based on parental income: evidence from France ," World Inequality Lab Working Papers halshs-03693195, HAL.
    2. Cécile Bonneau & Sébastien Grobon, 2022. "Unequal access to higher education based on parental income: evidence from France ," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-03693195, HAL.
    3. Michael Stucki, 2021. "Factors related to the change in Swiss inpatient costs by disease: a 6-factor decomposition," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(2), pages 195-221, March.
    4. Yoonyoung Choi, 2022. "A decomposition of declining crude birth rate in South Korea, 1990–2015," Journal of Population Research, Springer, vol. 39(3), pages 373-389, September.
    5. Nie, Peng & Ding, Lanlin & Sousa-Poza, Alfonso, 2019. "Decomposing adult obesity trends in China (1991–2011)," Economics & Human Biology, Elsevier, vol. 34(C), pages 5-15.
    6. Cécile Bonneau & Sébastien Grobon, 2022. "Unequal access to higher education based on parental income: evidence from France," Documents de travail du Centre d'Economie de la Sorbonne 22005r, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Nov 2022.
    7. Cécile Bonneau & Sébastien Grobon, 2022. "Unequal access to higher education based on parental income: evidence from France ," PSE Working Papers halshs-03693195, HAL.

  8. Jinjing Li & Alan Duncan & Riyana Miranti, 2015. "Underemployment among Mature-Age Workers in Australia," The Economic Record, The Economic Society of Australia, vol. 91(295), pages 438-462, December.
    See citations under working paper version above.
  9. Jinjing Li, 2015. "A Review of Spatial Microsimulation: A Reference Guide for Users," International Journal of Microsimulation, International Microsimulation Association, vol. 8(3), pages 148-151.

    Cited by:

    1. Matteo Richiardi, 2018. "Editorial," International Journal of Microsimulation, International Microsimulation Association, vol. 11(1), pages 1-3.

  10. Jinjing Li & Cathal O'Donoghue, 2014. "Evaluating Binary Alignment Methods in Microsimulation Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 17(1), pages 1-15.
    See citations under working paper version above.
  11. Jinjing Li & Cathal O'Donoghue, 2013. "A survey of dynamic microsimulation models: uses, model structure and methodology," International Journal of Microsimulation, International Microsimulation Association, vol. 6(2), pages 3-55.

    Cited by:

    1. Julian Ernst & Sebastian Dräger & Simon Schmaus & Jan Weymeirsch & Ahmed Alsaloum & Ralf Münnich, 2023. "The Influence of Migration Patterns on Regional Demographic Development in Germany," Social Sciences, MDPI, vol. 12(5), pages 1-20, April.
    2. Matteo Richiardi, 2018. "Editorial," International Journal of Microsimulation, International Microsimulation Association, vol. 11(1), pages 1-3.
    3. Gastón A. Giordana & María Noel Pi Alperin, 2022. "Old age takes its toll: long-run projections of health-related public expenditure in Luxembourg," BCL working papers 158, Central Bank of Luxembourg.
    4. Justin van de Ven, 2016. "LINDA: A dynamic microsimulation model for analysing policy effects on the evolving population cross-section," National Institute of Economic and Social Research (NIESR) Discussion Papers 459, National Institute of Economic and Social Research.
    5. Frederik Priem & Philip Stessens & Frank Canters, 2020. "Microsimulation of Residential Activity for Alternative Urban Development Scenarios: A Case Study on Brussels and Flemish Brabant," Sustainability, MDPI, vol. 12(6), pages 1-28, March.
    6. Vincenzo Atella & Federico Belotti & Ludovico Carrino & Andrea Piano Mortari, 2017. "The future of Long Term Care in Europe. An investigation using a dynamic microsimulation model," CEIS Research Paper 405, Tor Vergata University, CEIS, revised 08 May 2017.
    7. Bonin, Holger & Reuss, Karsten & Stichnoth, Holger, 2015. "Life-cycle incidence of family policy measures in Germany: Evidence from a dynamic microsimulation model," ZEW Discussion Papers 15-036, ZEW - Leibniz Centre for European Economic Research.
    8. Ross Richardson & Matteo G. Richiardi, 2016. "JAS-mine: A new platform for microsimulation and agent-based modelling," LABORatorio R. Revelli Working Papers Series 147, LABORatorio R. Revelli, Centre for Employment Studies.
    9. Vincenzo Atella & Federico Belotti & Kim Daejung & Dana Goldman & Tadeja Gracner & Andrea Piano Mortari & Bryan Tysinger, 2020. "The Future of the Elderly Population Health Status: Filling a Knowledge Gap," CEIS Research Paper 504, Tor Vergata University, CEIS, revised 22 Dec 2020.
    10. Meritxell Solé & Guadalupe Souto & Concepció Patxot, 2019. "Sustainability and Adequacy of the Spanish Pension System after the 2013 Reform: A Microsimulation Analysis," Hacienda Pública Española / Review of Public Economics, IEF, vol. 228(1), pages 109-150, March.
    11. Johannes Geyer & Salmai Qari & Hermann Buslei & Peter Haan, 2021. "DySiMo Dokumentation: Version 1.0," Data Documentation 101, DIW Berlin, German Institute for Economic Research.
    12. Sebastian Dräger & Johannes Kopp & Ralf Münnich & Simon Schmaus, 2021. "Analyse der Grundschulversorgung in Trier mit Hilfe kleinräumiger Mikrosimulationsmodelle," Research Papers in Economics 2021-01, University of Trier, Department of Economics.
    13. Glaubitz, Rick & Harnack-Eber, Astrid & Wetter, Miriam, 2022. "The gender gap in lifetime earnings: The role of parenthood," Discussion Papers 2022/3, Free University Berlin, School of Business & Economics.
    14. Richiardi, Matteo & Bronka, Patryk & van de Ven, Justin & Kopasker, Daniel & Vittal Katikireddi, Srinivasa, 2023. "SimPaths: an open-source microsimulation model for life course analysis," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA6/23, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
    15. Leonardo Eric CALCAGNO, 2017. "Does the introduction of non-contributory social benefits discourage registered labour? Testing the impact of pension moratoriums on unregistered employment in Argentina (2003-2015)," LEO Working Papers / DR LEO 2383, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    16. Jinjing Li & Yogi Vidyattama, 2019. "Projecting spatial population and labour force growth in Australian districts," Journal of Population Research, Springer, vol. 36(3), pages 205-232, September.
    17. David N Wear & Jeffrey P Prestemon, 2019. "Spatiotemporal downscaling of global population and income scenarios for the United States," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-19, July.
    18. Concepció Patxot & Meritxell Solé & Guadalupe Souto & Martin Spielauer, 2018. "The Impact of the Retirement Decision and Demographics on Pension Sustainability: A Dynamic Microsimulation Analysis," International Journal of Microsimulation, International Microsimulation Association, vol. 11(2), pages 84-108.
    19. Ross Richardson & Lia Pacelli & Ambra Poggi & Matteo Richiardi, 2018. "Female Labour Force Projections Using Microsimulation for Six EU Countries," International Journal of Microsimulation, International Microsimulation Association, vol. 11(2), pages 5-51.
    20. Hloušková, Z. & Lekešová, M. & Slížka, E., 2014. "Microsimulation Model Estimating Czech Farm Income from Farm Accountancy Data Network Database," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 6(3), pages 1-11, September.
    21. Rolf Aaberge & Ugo Colombino, 2018. "Structural Labour Supply Models and Microsimulation," International Journal of Microsimulation, International Microsimulation Association, vol. 11(1), pages 162-197.
    22. Jan Pablo Burgard & Joscha Krause & Simon Schmaus, 2019. "Estimation of Regional Transition Probabilities for Spatial Dynamic Microsimulations from Survey Data Lacking in Regional Detail," Research Papers in Economics 2019-12, University of Trier, Department of Economics.
    23. Karina Doorley & Cathal O’Donoghue & Denisa M. Sologon, 2022. "The Gender Gap in Income and the COVID-19 Pandemic in Ireland," Social Sciences, MDPI, vol. 11(7), pages 1-23, July.
    24. Richiardi, Matteo & He, Zhechun, 2020. "Measuring economic insecurity: a simulation approach," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA2/20, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
    25. Rick Glaubitz & Astrid Harnack-Eber & Miriam Wetter, 2022. "The Gender Gap in Lifetime Earnings: The Role of Parenthood," Discussion Papers of DIW Berlin 2001, DIW Berlin, German Institute for Economic Research.
    26. Rolf Aaberge & Ugo Colombino, 2015. "Labour Supply models," Discussion Papers 807, Statistics Norway, Research Department.
    27. Didier Blanchet & Cyrille Hagneré & François Legendre & Florence Thibault, 2015. "Introduction. Microsimulations statique et dynamique appliquées aux politiques fiscales et sociales : modèles et méthodes," Économie et Statistique, Programme National Persée, vol. 481(1), pages 5-30.
    28. Maria Cozzolino & Marco Di Marco, 2015. "Micromodelling Italian Taxes and Social Policies," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 17(2), pages 17-26.
    29. Courtioux, Pierre & Lignon, Vincent, 2016. "A good career or a good marriage: The returns of higher education in France," Economic Modelling, Elsevier, vol. 57(C), pages 221-237.
    30. GENEVOIS Anne-Sophie & LIEGEOIS Philippe & PI ALPERIN Maria Noel, 2019. "DyMH_LU: a simple tool for modelling and simulating the health status of the Luxembourgish elderly in the longer run," LISER Working Paper Series 2019-06, Luxembourg Institute of Socio-Economic Research (LISER).
    31. Joachim Merz & Lars Rusch, 2015. "MICSIM-4j - A General Microsimulation Model User Guide (Version 1.1)," FFB-Discussionpaper 100, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
    32. Leonardo Eric CALCAGNO, 2017. "Does the introduction of non-contributory social benefits discourage registered labour? Testing the impact of pension moratoriums on unregistered employment in Argentina (2003-2015)," LEO Working Papers / DR LEO 2526, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    33. Courtioux, Pierre & Gregoir, Stéphane & Houeto, Dede, 2014. "Modelling the distribution of returns on higher education: A microsimulation approach," Economic Modelling, Elsevier, vol. 38(C), pages 328-340.
    34. Maria Winkler-Dworak & Eva Beaujouan & Paola Di Giulio & Martin Spielauer, 2019. "Simulating Family Life Courses: An Application for Italy, Great Britain, and Scandinavia," VID Working Papers 1908, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna.
    35. Leonardo Eric Calcagno, 2017. "Does the introduction of non-contributory social benefits discourage registered labour? Testing the impact of pension moratoriums on unregistered employment in Argentina (2003-2015)," Working Papers hal-01611132, HAL.
    36. Vékás, Péter, 2015. "Az egyéni munkaerő-piaci aktivitás becslése mikroszimulációs modellkeretben [Estimating individual labor market activity in Hungary in a microsimulation framework]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(12), pages 1291-1308.
    37. Justin van de Ven, 2017. "Exploring the Importance of Incentive Responses for Policy Projections," International Journal of Microsimulation, International Microsimulation Association, vol. 10(3), pages 134-164.
    38. Bonin, Holger & Camarero Garcia, Sebastian & Lay, Max & Liu, Vivien & Neisser, Carina & Ody, Margard & Riedel, Lukas & Stichnoth, Holger & Ungerer, Martin & Wehrhöfer, Nils, 2018. "Machbarkeitsstudie und Ableitung von Forschungsfragen zu Bedeutung, Inanspruchnahme und Verteilungswirkungen von gesellschaftlich notwendigen Dienstleistungen. Endbericht," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, number 184658.
    39. Burgard Jan Pablo & Dieckmann Hanna & Krause Joscha & Merkle Hariolf & Münnich Ralf & Neufang Kristina M. & Schmaus Simon, 2020. "A generic business process model for conducting microsimulation studies," Statistics in Transition New Series, Polish Statistical Association, vol. 21(4), pages 191-211, August.
    40. Denisa Sologon, 2014. "Book review: New Pathways to Microsimulation," International Journal of Microsimulation, International Microsimulation Association, vol. 7(3), pages 80-86.
    41. Burgard, Jan Pablo & Krause, Joscha & Schmaus, Simon, 2021. "Estimation of regional transition probabilities for spatial dynamic microsimulations from survey data lacking in regional detail," Computational Statistics & Data Analysis, Elsevier, vol. 154(C).
    42. Holger Bonin & Karsten Reuss & Holger Stichnoth, 2016. "The Monetary Value of Family Policy Measures in Germany over the Life Cycle: Evidence from a Dynamic Microsimulation Model," CESifo Economic Studies, CESifo, vol. 62(4), pages 650-671.
    43. Ranđelović Saša & Žarković Rakić Jelena & Vladisavljević Marko & Vujić Sunčica, 2019. "Labour Supply and Inequality Effects of In-Work Benefits: Evidence from Serbia," Naše gospodarstvo/Our economy, Sciendo, vol. 65(3), pages 1-22, September.
    44. Ong, Rachel & Graham, James & Cigdem, Melek & Phelps, Christopher & Whelan, Stephen, 2023. "Financing first home ownership: modelling policy impacts at market and individual levels," SocArXiv p59te, Center for Open Science.
    45. Boumezoued, Alexandre & Hardy, Héloïse Labit & El Karoui, Nicole & Arnold, Séverine, 2018. "Cause-of-death mortality: What can be learned from population dynamics?," Insurance: Mathematics and Economics, Elsevier, vol. 78(C), pages 301-315.
    46. van de Ven, Justin, 2017. "SIDD: An adaptable framework for analysing the distributional implications of policy alternatives where savings and employment decisions matter," Economic Modelling, Elsevier, vol. 63(C), pages 161-174.
    47. Sebastian Dräger & Johannes Kopp & Ralf Münnich & Simon Schmaus, 2022. "Die zukünftige Entwicklung der Grundschulversorgung im Kontext ausgewählter Wanderungsszenarien [The future development of primary school demand in the context of selected migration scenarios]," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 16(1), pages 51-77, March.
    48. Andreas Peichl, 2016. "Linking Microsimulation and CGE models," International Journal of Microsimulation, International Microsimulation Association, vol. 9(1), pages 167-174.
    49. Rupendra N Shrestha & Deborah Schofield & Melanie J B Zeppel & Michelle M Cunich & Robert Tanton & Simon J Kelly & Lennert Veerman & Megan E Passey, 2018. "Care&WorkMOD: An Australian Microsimulation Model Projecting the Economic Impacts of Early Retirement in Informal Carers," International Journal of Microsimulation, International Microsimulation Association, vol. 11(3), pages 78-99.
    50. Li Tan & Cory Koedel, 2017. "The Effects of Differential Income Replacement and Mortality on U.S. Social Security Redistribution," Working Papers 1701, Department of Economics, University of Missouri, revised Jun 2019.
    51. Tony Lawson, 2016. "How the Ageing Population Contributes to UK Economic Activity: A Microsimulation Analysis," Scottish Journal of Political Economy, Scottish Economic Society, vol. 63(5), pages 497-518, November.
    52. Richiardi, Matteo & Bronka, Patryk & van de Ven, Justin, 2023. "Back to the future: Agent-based modelling and dynamic microsimulation," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA8/23, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
    53. Jules Linden & Cathal O’Donoghue & Denisa M. Sologon, 2023. "Decomposing the distributional impact of carbon taxation across six EU countries - Comparing the role of budget shares, carbon intensity, savings rates, and asset ownership," LISER Working Paper Series 2023-10, Luxembourg Institute of Socio-Economic Research (LISER).
    54. Stavroula A Chrysanthopoulou, 2017. "MILC: A Microsimulation Model of the Natural History of Lung Cancer," International Journal of Microsimulation, International Microsimulation Association, vol. 10(3), pages 5-26.
    55. Ross Richardson & Lia Pacelli & Ambra Poggi & Matteo Richiardi, 2018. "Female Labour Force Projections Using Microsimulation for Six EU Countries APPENDIX," International Journal of Microsimulation, International Microsimulation Association, vol. 11(2), pages 52-83.

  12. Jinjing Li & Cathal O'Donoghue, 2012. "Simulating Histories within Dynamic Microsimulation Models," International Journal of Microsimulation, International Microsimulation Association, vol. 5(1), pages 52-76.

    Cited by:

    1. Matteo Richiardi & Ambra Poggi, 2012. "Imputing Individual Effects in Dynamic Microsimulation Models. An application of the Rank Method," Carlo Alberto Notebooks 267, Collegio Carlo Alberto.
    2. Sheu, Jiuh-Biing & Wu, Hsi-Jen, 2015. "Driver perception uncertainty in perceived relative speed and reaction time in car following – A quantum optical flow perspective," Transportation Research Part B: Methodological, Elsevier, vol. 80(C), pages 257-274.
    3. Leonardo Eric CALCAGNO, 2017. "Does the introduction of non-contributory social benefits discourage registered labour? Testing the impact of pension moratoriums on unregistered employment in Argentina (2003-2015)," LEO Working Papers / DR LEO 2526, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    4. Li, Jinjing & O'Donoghue, Cathal, 2012. "A methodological survey of dynamic microsimulation models," MERIT Working Papers 2012-002, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    5. Leonardo Eric Calcagno, 2017. "Does the introduction of non-contributory social benefits discourage registered labour? Testing the impact of pension moratoriums on unregistered employment in Argentina (2003-2015)," Working Papers hal-01611132, HAL.
    6. Jinjing Li & Cathal O'Donoghue, 2013. "A survey of dynamic microsimulation models: uses, model structure and methodology," International Journal of Microsimulation, International Microsimulation Association, vol. 6(2), pages 3-55.

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 8 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-CMP: Computational Economics (5) 2011-08-09 2011-08-09 2011-11-21 2012-02-20 2021-01-18. Author is listed
  2. NEP-LAB: Labour Economics (5) 2011-08-09 2011-08-09 2011-11-21 2012-02-20 2013-12-15. Author is listed
  3. NEP-AGE: Economics of Ageing (3) 2011-08-09 2011-08-09 2019-01-14
  4. NEP-LMA: Labor Markets - Supply, Demand, & Wages (3) 2011-08-09 2011-08-09 2021-01-18
  5. NEP-DEM: Demographic Economics (2) 2011-08-09 2011-08-09
  6. NEP-EUR: Microeconomic European Issues (2) 2011-08-09 2018-01-22
  7. NEP-CNA: China (1) 2019-01-14
  8. NEP-DCM: Discrete Choice Models (1) 2013-12-15
  9. NEP-PUB: Public Finance (1) 2019-01-14
  10. NEP-TRA: Transition Economics (1) 2019-01-14

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